{"id":"https://openalex.org/W4406657788","doi":"https://doi.org/10.1109/tkde.2025.3532263","title":"Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning","display_name":"Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning","publication_year":2025,"publication_date":"2025-01-21","ids":{"openalex":"https://openalex.org/W4406657788","doi":"https://doi.org/10.1109/tkde.2025.3532263"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3532263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3532263","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042828356","display_name":"Yunyong Ko","orcid":"https://orcid.org/0000-0003-1283-4697"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunyong Ko","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0003-1283-4697","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA","Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Department of Computer Science, Hanyang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6345-9084","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.564,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.98329296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"1772","last_page":"1784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9052000045776367,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9052000045776367,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8274825811386108},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5390002727508545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48513397574424744},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4572879672050476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45299196243286133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274825811386108},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5390002727508545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48513397574424744},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4572879672050476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45299196243286133},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3532263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3532263","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1979104937","https://openalex.org/W2170057991","https://openalex.org/W2186482614","https://openalex.org/W2420733993","https://openalex.org/W2623802629","https://openalex.org/W2787887656","https://openalex.org/W2808934018","https://openalex.org/W2892880750","https://openalex.org/W3003235278","https://openalex.org/W3006296570","https://openalex.org/W3008248018","https://openalex.org/W3020904869","https://openalex.org/W3035648766","https://openalex.org/W3035666843","https://openalex.org/W3093516620","https://openalex.org/W3106229813","https://openalex.org/W3155496675","https://openalex.org/W3173365306","https://openalex.org/W3198760092","https://openalex.org/W4206914189","https://openalex.org/W4206968925","https://openalex.org/W4224314061","https://openalex.org/W4224983022","https://openalex.org/W4282931606","https://openalex.org/W4283454123","https://openalex.org/W4284686273","https://openalex.org/W4284699072","https://openalex.org/W4284701295","https://openalex.org/W4285113375","https://openalex.org/W4285605397","https://openalex.org/W4293254877","https://openalex.org/W4306317457","https://openalex.org/W4320009727","https://openalex.org/W4362513574","https://openalex.org/W4382237408","https://openalex.org/W6631190155","https://openalex.org/W6685562342","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6746218673","https://openalex.org/W6748564180","https://openalex.org/W6762490134","https://openalex.org/W6762888688","https://openalex.org/W6770147432","https://openalex.org/W6779339669","https://openalex.org/W6779680381","https://openalex.org/W6779940601","https://openalex.org/W6784694379","https://openalex.org/W6795988701","https://openalex.org/W6797571766","https://openalex.org/W6845534289"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Hypergraphs":[0],"can":[1],"naturally":[2],"model":[3,206],"<i>group-wise":[4],"relations</i>":[5],"(e.g.,":[6,35],"a":[7,28,90,142],"group":[8,36],"of":[9,42,127,189,197,208],"users":[10],"who":[11],"co-purchase":[12],"an":[13],"item)":[14],"as":[15,137],"<i>hyperedges</i>.":[16],"<i>Hyperedge":[17],"prediction</i>":[18],"is":[19,27,201],"to":[20,55,70,107,130,146],"predict":[21],"future":[22],"or":[23],"unobserved":[24],"hyperedges,":[25],"which":[26],"fundamental":[29],"task":[30],"in":[31,59,77,85,114,124,187,192,203],"many":[32],"real-world":[33,176],"applications":[34],"recommendation).":[37],"Despite":[38],"the":[39,46,57,72,125,149,153,190,198,205],"recent":[40],"breakthrough":[41],"hyperedge":[43,61,65,78,92,116,128,170,193],"prediction":[44,93,129,194],"methods,":[45],"following":[47],"challenges":[48,83],"have":[49],"been":[50],"rarely":[51],"studied:":[52],"(<b>C1</b>)":[53],"<i>How":[54,69],"aggregate":[56],"nodes":[58,113],"each":[60,115,196],"candidate":[62],"for":[63,117,134,138,166],"accurate":[64],"prediction?</i>":[66,79],"and":[67,119,156,160,169,195],"(<b>C2</b>)":[68],"mitigate":[71],"inherent":[73],"data":[74],"sparsity":[75],"problem":[76],"To":[80],"tackle":[81],"both":[82,158],"together,":[84],"this":[86],"paper,":[87],"we":[88,140],"propose":[89,141],"novel":[91],"framework":[94],"(<b><inline-formula><tex-math":[95],"notation=\"LaTeX\">$\\mathsf{CASH}$</tex-math><alternatives><mml:math":[96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi":[97],"mathvariant=\"sans-serif\">CASH</mml:mi></mml:math><inline-graphic":[98],"xlink:href=\"ko-ieq2-3532263.gif\"":[99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"/></alternatives></inline-formula></b>)":[100],"that":[101,179],"employs":[102],"(1)":[103],"<i>context-aware":[104],"node":[105,168],"aggregation</i>":[106],"precisely":[108],"capture":[109],"complex":[110],"relations":[111],"among":[112],"(C1)":[118],"(2)":[120],"<i>self-supervised":[121],"contrastive":[122],"learning</i>":[123],"context":[126],"enhance":[131],"hypergraph":[132,155],"representations":[133],"(C2).":[135],"Furthermore,":[136],"(C2),":[139],"<i>hyperedge-aware":[143],"augmentation</i>":[144],"method":[145],"fully":[147],"exploit":[148],"latent":[150],"semantics":[151],"behind":[152],"original":[154],"consider":[157],"node-level":[159],"group-level":[161],"contrasts":[162],"(i.e.,":[163],"<i>dual":[164],"contrasts</i>)":[165],"better":[167],"representations.":[171],"Extensive":[172],"experiments":[173],"on":[174],"six":[175],"hypergraphs":[177],"reveal":[178],"<inline-formula><tex-math":[180,209],"notation=\"LaTeX\">$\\mathsf{CASH}$</tex-math></inline-formula>":[181],"consistently":[182],"outperforms":[183],"all":[184],"competing":[185],"methods":[186],"terms":[188],"accuracy":[191,207],"proposed":[199],"strategies":[200],"effective":[202],"improving":[204],"notation=\"LaTeX\">$\\mathsf{CASH}$</tex-math></inline-formula>.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}